code: def _register_hooks(self, evaluator: Evaluator):
      def collector(
          buffer: List, target: torch.Tensor
      ) -> Callable[[torch.Tensor], None]:
          # a factory function, return a tensor hook function for target
          assert (
              len(buffer) == 0
          ), "Buffer pass to taylor pruner collector is not empty."
  
          def collect_taylor(grad: torch.Tensor):
              if len(buffer) == 0:
                  buffer.append(torch.zeros_like(grad))
              if self._current_step < self.training_steps:
                  buffer[0] += (target.detach() * grad.detach()).pow(2)
  
          return collect_taylor
  
      hook_list = []
      for module_name, ts in self._target_spaces.items():
          for target_name, target_space in ts.items():
              if is_active_target(target_space):
                  # TODO: add input/output
                  if target_space.type is TargetType.PARAMETER:
                      assert target_space.target is not None
                      hook = TensorHook(
                          target_space.target,
                          target_name,
                          functools.partial(
                              collector, target=target_space.target
                          ),
                      )
                      hook_list.append(hook)
                      self.hooks[module_name][target_name] = hook
                  else:
                      raise NotImplementedError()
      evaluator.register_hooks(hook_list)
  
imports: from __future__ import annotations
  from collections import defaultdict
  import functools
  import logging
  from typing import Callable, Dict, List, Literal, Tuple, overload
  import torch
  from .tools import _METRICS, _MASKS, norm_metrics, generate_sparsity, is_active_target
  from ..base.compressor import Compressor, Pruner
  from ..base.target_space import TargetType
  from ..base.wrapper import ModuleWrapper
  from ..utils.docstring import _EVALUATOR_DOCSTRING
  from ..utils.evaluator import Evaluator, TensorHook
label_desc: Use image node_id 8 for calling the TaylorPruner obj's underlying member method code with example usage: obj._register_hooks(evaluator) and returns: collect_taylor